Staff Platform Engineer, Agentic Engineering

Requirements

  • Frontier obsession: Constantly exploring new AI models and tools with evidence-backed opinions.
  • Staff-scope ownership: Led complex platform or developer productivity initiatives with measurable impact.
  • Agentic depth: Daily power user of coding agents and built supporting infrastructure engineers rely on.
  • Product mindset for internal platforms: Prioritize by impact, treat engineers as customers, and make build-vs-buy decisions.
  • Direction without authority: Set technical direction across teams through proposals and credibility.
  • Safety judgment: Made decisions on permissions, secrets, sandboxing, and human-in-the-loop review.
  • Measurement that drives decisions: Created benchmarks and metrics to guide changes and retire ineffective approaches.
  • Writing that changes decisions: Produced technical proposals and documentation that influenced team actions.

Nice to haves

  • Experience with TypeScript monorepos: Worked in large TypeScript, Node.js or JavaScript monorepos.
  • Developer platforms: Familiar with GitHub Actions, Linear, test infrastructure, preview environments, or internal dev platforms.
  • Growing a team: Mentored engineers or shaped new teams as initiatives scaled.
  • Open-source communities: Contributed to projects with active developer communities.
  • B2B SaaS context: Experienced in environments prioritizing reliability, permissions, data handling, and trust.
  • Workflow automation: Knowledge of workflow automation, integration platforms, AI orchestration, or developer-facing products.

What you'll be doing

  • Identify and prioritize opportunities for agentic development using feedback, experiments, and data.
  • Set strategy for agent execution, repository readiness, CI, security, and developer workflows.
  • Make build, buy, or pass decisions on tools/vendors, managing cost and value trade-offs including AI spend.
  • Make decisions amid incomplete requirements balancing autonomy, reliability, security, and review efforts.
  • Build alignment through proposals, decisions, software, and report progress to leadership.
  • Design and build isolated execution environments for agents with secure access to code and tools.
  • Own the safety model determining task boundaries, sensitive areas, and human review needs.
  • Prepare n8n's monorepo for agent readiness focusing on structure, testability, and context.
  • Create repeatable workflows integrating agent execution with tools like Linear, GitHub, CI, and code review.
  • Extend agent workflows beyond coding to product research, customer feedback, and production metrics.
  • Open agent workflows to roles beyond engineering like product managers and designers.
  • Define review practices including evidence for changes, executed tasks, risks, and human judgment.
  • Build benchmarks and quality metrics from historical tasks to evaluate output, failures, and risks.
  • Track adoption and quality signals influencing iteration and trust-building within engineering.

Perks and benefits

  • Competitive compensation: Fair and attractive pay.
  • Ownership: Equity stake reflecting empowerment core value.
  • Work/life balance: Generous vacation (Europe: 30 days + public holidays; US: 20 vacation + 8 sick days + public holidays).
  • Health & wellness: Local benefits in Europe; multiple medical, dental, vision plans and no-cost HDHP option in the US.
  • Future planning: Pension contributions in Europe; 401(k) with 4% match in the US.
  • Financial security: Benefits per local norms; US company-paid disability and life insurance.
  • Career growth: €1,000 yearly stipend for learning resources and development.
  • A passionate team: Regular hackathons fostering innovation and fun.
  • Remote-first: Work remotely across Europe with regular team off-sites; some hybrid roles depending on function.
  • Giving back: $100 per month to support open-source projects you care about.
  • Transparency: Open insight into company work and performance.
AI Summary ✨

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